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Independent Contractor Aws Machine Learning Jobs in Ohio

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Productionize machine learning models developed by Data Science teams. * Design and deploy Large Language Model (LLM) applications. * Integrate AI solutions into AWS and JPMorgan Chase internal cloud ...

Demonstrated ability to work effectively in teams as well as independently across multiple tasks ... Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) * Strong ...

New

Demonstrated ability to work effectively in teams as well as independently across multiple tasks ... Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) * Strong ...

New

... well as independently across multiple tasks while meeting aggressive timelines Strategic ... Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning ...

New

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Lead Forward Deployed Engineer - AWS

Cleveland, OH · On-site

$99K - $130K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Senior Forward Deployed Engineer- AWS

Cincinnati, OH · On-site

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Lead Forward Deployed Engineer - AWS

Columbus, OH · On-site

$99K - $130K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Senior Forward Deployed Engineer- AWS

Columbus, OH · On-site

$100K - $138K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

DUTIES & RESPONSIBILITIES Design and develop machine learning and deep learning models for real ... cloud platforms (AWS, Azure, or Google Cloud) Knowledge of RESTful APIs and microservices ...

Showing results 41-60

Independent Contractor Aws Machine Learning information

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.

What are the most commonly searched types of Aws Machine Learning jobs in Ohio?

The most popular types of Aws Machine Learning jobs in Ohio are:

What are popular job titles related to Independent Contractor Aws Machine Learning jobs in Ohio?

For Independent Contractor Aws Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Independent Contractor Aws Machine Learning jobs in Ohio look for?

The top searched job categories for Independent Contractor Aws Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Independent Contractor Aws Machine Learning jobs?

Cities in Ohio with the most Independent Contractor Aws Machine Learning job openings:

Infographic showing various Independent Contractor Aws Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 28 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


Join a team that unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers.
As a Quant Analytics Senior Associate, within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products, span the entire problem-solving lifecycle, including: identifying gaps through thorough and inquisitive analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.
Job Responsibilities:
  • Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments.
  • Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications. Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
  • Collaborate with cross-functional teams to integrate business assumptions with production data, validate hypotheses, and identify production flaws.
  • Create and present clear, actionable insights to peers, executive leadership, and business partners.
  • Proactively investigate and resolve issues in data collection, model development, and production phases.
  • Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner.
  • Serve as a member of agile, digital, or scrum teams, providing data and analytics support for new product development.

Required qualifications, capabilities, and skills:
  • Bachelor's degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master's degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics
  • Solid programming skills in SQL.
  • Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook.
  • Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau.
  • Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
  • Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).
  • Experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM).

Preferred qualifications, capabilities, and skills:
  • Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.
  • Proficient in big data ETL processes for both structured and unstructured databases.
  • Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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